New Data from National Yunlin University of Science and Technology Illuminate Findings in Self-Driving Cars (A Survey On Deep Learning for Steering Angle Prediction In Autonomous Vehicles)

2020 OCT 19 (NewsRx) -- By a News Reporter-Staff News Editor at Taiwan Daily Report -- Research findings on Transportation - Self-Driving Cars are discussed in a new report. According to news originating from Yunlin, Taiwan, by NewsRx correspondents, research stated, “Steering angle prediction is critical in the control of Autonomous Vehicles (AVs) and has attracted the attention of researchers, manufacturers, and insurance companies in the automotive industry. Different Deep Learning (DL) architectures have been applied to predict the steering angle of AVs in various scenarios.”

Our news journalists obtained a quote from the research from the National Yunlin University of Science and Technology, “A survey on steering angle prediction based on deep learning algorithms can help expert researchers identify those areas that require development. Also, novice researchers can use the survey as a starting point. In this article, we present a broad study on the recent advances made in DL architectures that covers the steering angle prediction of AVs. A new comprehensive taxonomy of the application of DL in steering angle prediction of AVs is created. The survey presents a concise research summary synthesis, and analysis. It is found that most researchers depend on Convolutional Neural Network (CNN) over other DL architectures in predicting the steering angle of autonomous driving vehicles. Also identified are open research problems. The prominent challenge facing DL-based steering angle prediction of AVs is lack of sufficient real-world datasets, which means that researchers largely depend on data generated from simulated environments.”

According to the news editors, the research concluded: “Lastly, alternative viewpoints to solve the identified open research challenges are proposed, pointing towards promising future research directions.”

For more information on this research see: A Survey On Deep Learning for Steering Angle Prediction In Autonomous Vehicles. IEEE Access, 2020;8():163797-163817. IEEE Access can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA.

The news correspondents report that additional information may be obtained from Haruna Chiroma, National Yunlin University of Science and Technology, Future Technol Res Ctr, Touliu 64002, Yunlin, Taiwan. Additional authors for this research include Usman Manzo Gidado, Saidu Abubakar, Nahla Aljojo, Segun I. Popoola and Mohammed Ali Al-Garadi.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/access.2020.3017883. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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